Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "324"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 324 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 324, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459849 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.307814 4.508927 31.685722 34.628407 0.813919 4.000439 0.735268 -1.119094 0.6502 0.6536 0.3697 0.000000 0.000000
2459848 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.382170 4.339795 23.246825 24.691738 2.946681 7.368925 -0.517335 -2.007833 0.6167 0.6487 0.3869 0.000000 0.000000
2459847 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.998904 3.950134 21.980064 23.222977 6.069948 9.488170 1.171514 -1.306332 0.6357 0.5815 0.4404 0.000000 0.000000
2459846 not_connected 100.00% 0.00% 17.09% 0.00% 100.00% 0.00% 8.996056 11.616991 17.130627 18.647242 9.137283 11.614121 -0.013364 -0.764217 0.7176 0.4547 0.4987 0.000000 0.000000
2459845 not_connected 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.475794 5.472365 28.929430 32.047890 1.640734 5.695455 0.539237 -2.568964 0.6085 0.6215 0.4088 0.000000 0.000000
2459844 not_connected 100.00% 100.00% 100.00% 0.00% - - 8.303264 10.001129 63.923558 67.187863 6.682012 -0.758717 -1.180384 0.388218 0.0296 0.0287 0.0009 nan nan
2459843 not_connected 100.00% 1.20% 1.20% 0.00% 100.00% 0.00% 2.976597 5.099466 12.776776 14.142828 0.982176 4.524149 2.836725 -0.040095 0.6280 0.6255 0.4289 0.000000 0.000000
2459840 not_connected 100.00% 100.00% 100.00% 0.00% - - 4.280926 2.167138 22.181166 23.216458 -0.781827 -0.073941 -1.600786 -0.435355 0.0282 0.0291 0.0018 nan nan
2459839 not_connected 100.00% - - - - - 0.078513 -0.330589 65.282703 67.275696 -1.212336 -1.320568 -2.030405 -0.229844 nan nan nan nan nan
2459838 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 17.058673 22.148276 24.299921 24.855199 24.062666 40.938191 136.072017 134.893483 0.0251 0.0244 0.0007 0.000000 0.000000
2459836 not_connected - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0385 0.0379 0.0008 nan nan
2459835 not_connected 0.00% 100.00% 100.00% 0.00% - - 1.287377 -0.824675 1.543852 -1.040536 0.599659 -0.278067 -1.345434 1.003967 0.0376 0.0376 0.0008 nan nan
2459833 not_connected 100.00% 100.00% 100.00% 0.00% - - 6.949643 -0.507037 20.654802 17.175651 2.942664 -0.236912 -0.353768 1.464084 0.0414 0.0341 0.0019 nan nan
2459832 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.181772 4.862696 13.755897 7.963718 3.862643 1.076854 0.147386 -0.768979 0.1149 0.0836 0.0622 0.000000 0.000000
2459831 not_connected 100.00% 100.00% 100.00% 0.00% - - 1.550744 0.966163 70.393736 72.588086 -1.173722 -1.117344 -1.627415 -0.385524 0.0369 0.0438 0.0024 nan nan
2459830 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.117489 6.365048 18.745385 11.781399 21.553443 9.549406 -1.934167 0.681720 0.1156 0.0765 0.0644 0.000000 0.000000
2459829 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 8.044607 5.587497 17.975386 11.389339 11.888346 7.504183 -0.636125 3.367454 0.1034 0.0911 0.0449 0.000000 0.000000
2459828 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.593701 6.102939 13.627833 8.783444 18.417457 9.675413 -0.363177 -3.019431 0.1089 0.0757 0.0565 0.000000 0.000000
2459827 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 6.759723 4.229177 23.102905 14.772001 12.080389 6.713344 1.019937 0.103642 0.1034 0.0870 0.0449 0.000000 0.000000
2459826 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459825 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.028732 6.106203 14.817773 9.166080 15.748800 8.133010 0.188846 -0.193160 0.1131 0.0714 0.0514 0.000000 0.000000
2459824 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 3.269938 2.361812 20.195645 12.220528 2.139997 1.921774 -1.272507 -0.401934 0.0946 0.0932 0.0392 0.000000 0.000000
2459823 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 13.679164 8.043625 16.360953 10.678824 21.953628 15.023006 8.714393 3.237700 0.1042 0.0807 0.0477 0.000000 0.000000
2459822 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 12.125107 7.123065 17.739461 11.447926 18.553022 10.856704 0.628087 0.293613 0.1141 0.0754 0.0495 0.000000 0.000000
2459821 not_connected 100.00% 11.29% 67.74% 0.00% 100.00% 0.00% 14.192791 9.218391 17.647032 11.866696 14.793004 9.283814 -0.048729 2.628200 0.6046 0.3441 0.4590 0.000000 0.000000
2459820 not_connected 100.00% 0.00% 10.20% 0.00% 100.00% 0.00% 8.079007 5.299299 20.226286 13.116366 33.385646 21.555916 -1.399868 -0.602069 0.6744 0.5312 0.4441 0.000000 0.000000
2459817 not_connected 100.00% 0.00% 51.08% 0.00% 100.00% 0.00% 13.433814 8.712655 14.185663 9.357913 21.697786 13.708389 0.333035 0.028790 0.6662 0.4040 0.4984 0.000000 0.000000
2459816 not_connected 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459815 not_connected 100.00% 0.00% 53.76% 0.00% 100.00% 0.00% 12.729166 8.040191 16.207891 10.364802 29.083933 17.668878 -0.676393 -1.110901 0.6535 0.4155 0.5002 0.000000 0.000000
2459814 not_connected 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 not_connected 100.00% 0.00% 9.67% 0.00% 100.00% 0.00% 13.338866 10.616886 14.097585 9.970589 41.532160 31.625728 -1.359868 2.101745 0.6788 0.5331 0.4490 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 324: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 34.628407 2.307814 4.508927 31.685722 34.628407 0.813919 4.000439 0.735268 -1.119094

Antenna 324: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 24.691738 4.339795 2.382170 24.691738 23.246825 7.368925 2.946681 -2.007833 -0.517335

Antenna 324: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 23.222977 3.950134 1.998904 23.222977 21.980064 9.488170 6.069948 -1.306332 1.171514

Antenna 324: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 18.647242 8.996056 11.616991 17.130627 18.647242 9.137283 11.614121 -0.013364 -0.764217

Antenna 324: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 32.047890 5.472365 3.475794 32.047890 28.929430 5.695455 1.640734 -2.568964 0.539237

Antenna 324: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 67.187863 8.303264 10.001129 63.923558 67.187863 6.682012 -0.758717 -1.180384 0.388218

Antenna 324: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 14.142828 5.099466 2.976597 14.142828 12.776776 4.524149 0.982176 -0.040095 2.836725

Antenna 324: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 23.216458 4.280926 2.167138 22.181166 23.216458 -0.781827 -0.073941 -1.600786 -0.435355

Antenna 324: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 67.275696 -0.330589 0.078513 67.275696 65.282703 -1.320568 -1.212336 -0.229844 -2.030405

Antenna 324: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Discontinuties 136.072017 22.148276 17.058673 24.855199 24.299921 40.938191 24.062666 134.893483 136.072017

Antenna 324: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 1.543852 -0.824675 1.287377 -1.040536 1.543852 -0.278067 0.599659 1.003967 -1.345434

Antenna 324: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 20.654802 -0.507037 6.949643 17.175651 20.654802 -0.236912 2.942664 1.464084 -0.353768

Antenna 324: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 13.755897 9.181772 4.862696 13.755897 7.963718 3.862643 1.076854 0.147386 -0.768979

Antenna 324: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power 72.588086 1.550744 0.966163 70.393736 72.588086 -1.173722 -1.117344 -1.627415 -0.385524

Antenna 324: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 21.553443 11.117489 6.365048 18.745385 11.781399 21.553443 9.549406 -1.934167 0.681720

Antenna 324: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 17.975386 5.587497 8.044607 11.389339 17.975386 7.504183 11.888346 3.367454 -0.636125

Antenna 324: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 18.417457 6.102939 9.593701 8.783444 13.627833 9.675413 18.417457 -3.019431 -0.363177

Antenna 324: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 23.102905 6.759723 4.229177 23.102905 14.772001 12.080389 6.713344 1.019937 0.103642

Antenna 324: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 15.748800 6.106203 11.028732 9.166080 14.817773 8.133010 15.748800 -0.193160 0.188846

Antenna 324: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 20.195645 3.269938 2.361812 20.195645 12.220528 2.139997 1.921774 -1.272507 -0.401934

Antenna 324: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 21.953628 8.043625 13.679164 10.678824 16.360953 15.023006 21.953628 3.237700 8.714393

Antenna 324: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 18.553022 12.125107 7.123065 17.739461 11.447926 18.553022 10.856704 0.628087 0.293613

Antenna 324: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Power 17.647032 9.218391 14.192791 11.866696 17.647032 9.283814 14.793004 2.628200 -0.048729

Antenna 324: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 33.385646 8.079007 5.299299 20.226286 13.116366 33.385646 21.555916 -1.399868 -0.602069

Antenna 324: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 21.697786 13.433814 8.712655 14.185663 9.357913 21.697786 13.708389 0.333035 0.028790

Antenna 324: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 29.083933 8.040191 12.729166 10.364802 16.207891 17.668878 29.083933 -1.110901 -0.676393

Antenna 324: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape nan nan nan nan nan nan nan nan nan

Antenna 324: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Variability 41.532160 10.616886 13.338866 9.970589 14.097585 31.625728 41.532160 2.101745 -1.359868
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